Reviews

The Strategy Bridge (Stephen Fino, 13 February 2019): “ Although written for a business audience, its insights are not confined to the boardroom. Prediction Machines provides a compelling, fresh perspective to help us understand what artificial intelligence is and its potential impact on our world. The text is essential reading for those grappling to make sense of the field.”

Inside Higher Ed (Joshua Kim, 5 December 2018): “We are desperately short of independent and unbiased analyses of the impact of AI on higher ed. Reading, and sharing, Prediction Machines is a good place to start a campuswide AI discussion.”

Bloomberg (Noah Smith, 16 August 2018): "[C]onsidering the scope of their task, Agrawal et al. do an excellent job."

strategy+business (Theodore Kinni, 8 August 2018): "For its engaging mix of insight and practical advice, Prediction Machines gets my vote for one of the must-reads on the topic."

New York Times (Ina Fried, 9 July 2018): "Compared w the amount of ink spilled over the prospect of artificial general intelligence...there’s been much less attention to the smaller changes already happening in the realm of AI & their quite profound economic implications. Enter Prediction Machines."

San Francisco Review of Books (Robert Morris, 30 June 2018): "As they correctly suggest, their emphasis is on trade-offs: 'More data means less privacy. More speed means less accuracy. More autonomy means less control…The best strategy for your company or career or country will depend on how you weigh each side of every trade-off.'"

Forbes (Adi Gaskell, 4 June 2018): "[F]raming AI in terms of its predictive capabilities is not only a realistic portrayal of its capabilities today, but also one that business leaders can both understand and act upon. For that alone, the book is worth reading."

Associations Now (Kristin Clark, 1 June 2018): "It’s a surprisingly readable manual that may guide even skeptics to the “a-ha” moment of affirmation."

The Undercover Economist (Tim Harford, 30 April 2018): "But being cheap can transform the world. “Prediction Machines” gratifyingly chimes with this idea. ...As a bonus, the book has lots of good examples and is written clearly. I learned a lot."

Overcoming Bias (Robin Hansen, 20 April 2018): "Five years later, we haven’t yet seen changes remotely this big. And a new book is now a worthy successor to Information Rules."

Irish Tech News (Simon Cocking, 23 March 2018): "After an early round of books with grand and large predictions of what AI can and can’t do, this book is a good, grounded analysis of what we can expect to see in the near future.